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This book is written for the learner's point of view, with the purpose of helping readers understand the principles of flow. The theory is explained using ordinary and accessible language, where fluid mechanics is presented in analogy to solid mechanics to emphasize that they are all the application of Newtonian mechanics and thermodynamics. All the informative and helpful illustrations are drawn by the author, uniting the science and the art with figures that complement the text and provide clear understanding. Another unique feature is that one of the chapters is wholly dedicated to providing 25 selected interesting and controversial flow examples, with the purpose of linking theory with practice. The book will be useful to both beginners in the field and experts in other fields, and is ideal for college students, graduate students, engineers, and technicians.
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This book is written for the learner's point of view, with the purpose of helping readers understand the principles of flow. The theory is explained using ordinary and accessible language, where fluid mechanics is presented in analogy to solid mechanics to emphasize that they are all the application of Newtonian mechanics and thermodynamics. All the informative and helpful illustrations are drawn by the author, uniting the science and the art with figures that complement the text and provide clear understanding. Another unique feature is that one of the chapters is wholly dedicated to providing 25 selected interesting and controversial flow examples, with the purpose of linking theory with practice. The book will be useful to both beginners in the field and experts in other fields, and is ideal for college students, graduate students, engineers, and technicians.
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This book not only presents the state-of-the-art research on knowledge modelling, knowledge retrieval and knowledge reuse, but also elaborates the Collaborative Knowledge Management (CKM) paradigm and the architecture for the next generation of knowledge management systems. Although knowledge management has been extensively studied, particularly in the fields of business management and engineering design, there is a lack of systematic methodologies for addressing the integrated and collaborative dimension of knowledge management during the collaborative process of designing and developing complex systems, products, processes and services. The rapid development of information technologies, together with their applications in engineering and management, has laid the foundation for a Collaborative Knowledge Management (CKM) paradigm. The book specifically discusses this paradigm from a computational perspective. By exploring specific research findings underpinning further CKM research and applications and describing methods related to hot research topics and new research areas, the book appeals to professionals, researchers and graduate students who are interested in knowledge management and related topics and who have a basic understanding of information technologies, computational methods, and knowledge management.
Computer-aided engineering. --- Engineering design. --- Electronic data processing—Management. --- Application software. --- Information storage and retrieval systems. --- Computer systems. --- Computer-Aided Engineering (CAD, CAE) and Design. --- Engineering Design. --- IT Operations. --- Computer and Information Systems Applications. --- Information Storage and Retrieval. --- Computer System Implementation. --- ADP systems (Computer systems) --- Computing systems --- Systems, Computer --- Electronic systems --- Cyberinfrastructure --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Computer systems --- Electronic information resources --- Data centers --- Digital libraries --- Information organization --- Information retrieval --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Design, Engineering --- Engineering --- Industrial design --- Strains and stresses --- CAE --- Design --- Data processing
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This book provides state-of-art statistical methodologies, practical considerations from regulators and sponsors, logistics, and real use cases for practitioners for the uptake of RWE/D. Randomized clinical trials have been the gold standard for the evaluation of efficacy and safety of medical products. However, the cost, duration, practicality, and limited generalizability have incentivized many to look for alternative ways to optimize drug development. This book provides a comprehensive list of topics together to include all aspects with the uptake of RWE/D, including, but not limited to, applications in regulatory and non-regulatory settings, causal inference methodologies, organization and infrastructure considerations, logistic challenges, and practical use cases.
Clinical trials. --- Drug development. --- Development of drugs --- Drugs --- New drug development --- Pharmacology --- Pharmacy --- Controlled clinical trials --- Patient trials of new treatments --- Randomized clinical trials --- Trials, Clinical --- Clinical medicine --- Human experimentation in medicine --- Development --- Research --- Statistics. --- Artificial intelligence—Data processing. --- Computer science—Mathematics. --- Data Science. --- Mathematics of Computing. --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Therapeutics --- Medical --- Desenvolupament de medicaments --- Assaigs clínics
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This book not only presents the state-of-the-art research on knowledge modelling, knowledge retrieval and knowledge reuse, but also elaborates the Collaborative Knowledge Management (CKM) paradigm and the architecture for the next generation of knowledge management systems. Although knowledge management has been extensively studied, particularly in the fields of business management and engineering design, there is a lack of systematic methodologies for addressing the integrated and collaborative dimension of knowledge management during the collaborative process of designing and developing complex systems, products, processes and services. The rapid development of information technologies, together with their applications in engineering and management, has laid the foundation for a Collaborative Knowledge Management (CKM) paradigm. The book specifically discusses this paradigm from a computational perspective. By exploring specific research findings underpinning further CKM research and applications and describing methods related to hot research topics and new research areas, the book appeals to professionals, researchers and graduate students who are interested in knowledge management and related topics and who have a basic understanding of information technologies, computational methods, and knowledge management.
Information retrieval --- Materials sciences --- Production management --- Programming --- Computer architecture. Operating systems --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- DFMA (design for manufacture and assembly) --- applicatiebeheer --- apps --- computers --- programmeren (informatica) --- informatiesystemen --- CAD (computer aided design) --- architectuur (informatica)
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This volume of Advances in Soft Computing and Lecture Notes in Computer Science vols. 5551, 5552 and 5553, constitute the Proceedings of the 6th International Symposium of Neural Networks (ISNN 2009) held in Wuhan, China during May 26 - 29, 2009. ISNN is a prestigious annual symposium on neural networks with past events held in Dalian (2004), Chongqing (2005), Chengdu (2006), Nanjing (2007) and Beijing (2008). Over the past few years, ISNN has matured into a well-established series of international conference on neural networks and their applications to other fields. Following this tradition, ISNN 2009 provided an academic forum for the participants to disseminate their new research findings and discuss emerging areas of research. Also, it created a stimulating environment for the participants to interact and exchange information on future research challenges and opportunities of neural networks and their applications.
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This book provides state-of-art statistical methodologies, practical considerations from regulators and sponsors, logistics, and real use cases for practitioners for the uptake of RWE/D. Randomized clinical trials have been the gold standard for the evaluation of efficacy and safety of medical products. However, the cost, duration, practicality, and limited generalizability have incentivized many to look for alternative ways to optimize drug development. This book provides a comprehensive list of topics together to include all aspects with the uptake of RWE/D, including, but not limited to, applications in regulatory and non-regulatory settings, causal inference methodologies, organization and infrastructure considerations, logistic challenges, and practical use cases.
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This volume of Advances in Soft Computing and Lecture Notes in Computer Science vols. 5551, 5552 and 5553, constitute the Proceedings of the 6th International Symposium of Neural Networks (ISNN 2009) held in Wuhan, China during May 26 - 29, 2009. ISNN is a prestigious annual symposium on neural networks with past events held in Dalian (2004), Chongqing (2005), Chengdu (2006), Nanjing (2007) and Beijing (2008). Over the past few years, ISNN has matured into a well-established series of international conference on neural networks and their applications to other fields. Following this tradition, ISNN 2009 provided an academic forum for the participants to disseminate their new research findings and discuss emerging areas of research. Also, it created a stimulating environment for the participants to interact and exchange information on future research challenges and opportunities of neural networks and their applications.
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